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ORCID34th ISC 2019: Frankfurt, Germany
- Michèle Weiland, Guido Juckeland
, Carsten Trinitis, Ponnuswamy Sadayappan:
High Performance Computing - 34th International Conference, ISC High Performance 2019, Frankfurt/Main, Germany, June 16-20, 2019, Proceedings. Lecture Notes in Computer Science 11501, Springer 2019, ISBN 978-3-030-20655-0
Architectures, Networks and Infrastructure
- Misbah Mubarak, Neil McGlohon, Malek Musleh, Eric Borch, Robert B. Ross, Ram Huggahalli, Sudheer Chunduri, Scott Parker, Christopher D. Carothers, Kalyan Kumaran:
Evaluating Quality of Service Traffic Classes on the Megafly Network. 3-20
Artificial Intelligence and Machine Learning
- Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang:
Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. 23-39 - Shweta Salaria, Aleksandr Drozd, Artur Podobas, Satoshi Matsuoka:
Learning Neural Representations for Predicting GPU Performance. 40-58
Data, Storage and Visualization
- Bin Dong, Kesheng Wu, Suren Byna, Houjun Tang:
SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis. 61-80 - Xiaojia Song, Tao Xie, Stephen Fischer:
A Near-Data Processing Server Architecture and Its Impact on Data Center Applications. 81-98 - James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire:
Comparing the Efficiency of In Situ Visualization Paradigms at Scale. 99-117
Emerging Technologies
- Jose P. Pinilla, Steven J. E. Wilton:
Layout-Aware Embedding for Quantum Annealing Processors. 121-139
HPC Algorithms
- Mohammad Mahdi Javanmard, Pramod Ganapathi, Rathish Das, Zafar Ahmad, Stephen L. Tschudi, Rezaul Chowdhury:
Toward Efficient Architecture-Independent Algorithms for Dynamic Programs. 143-164
HPC Applications
- Alexander Breuer, Yifeng Cui, Alexander Heinecke:
Petaflop Seismic Simulations in the Public Cloud. 167-185 - Shashi M. Aithal, Prasanna Balaprakash:
MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles. 186-205
Performance Modeling and Measurement
- Christian Helm, Kenjiro Taura:
PerfMemPlus: A Tool for Automatic Discovery of Memory Performance Problems. 209-226 - Ignacio Laguna, Paul C. Wood, Ranvijay Singh, Saurabh Bagchi:
GPUMixer: Performance-Driven Floating-Point Tuning for GPU Scientific Applications. 227-246 - Johannes Doerfert, Brian Homerding, Hal Finkel:
Performance Exploration Through Optimistic Static Program Annotations. 247-268
Programming Models and Systems Software
- Arash Rezaei, Harsh Khetawat, Onkar Patil, Frank Mueller, Paul Hargrove, Eric Roman:
End-to-End Resilience for HPC Applications. 271-290 - Sara S. Hamouda, Josh Milthorpe:
Resilient Optimistic Termination Detection for the Async-Finish Model. 291-311 - Joseph Schuchart, José Gracia:
Global Task Data-Dependencies in PGAS Applications. 312-329 - Ryan E. Grant, Matthew G. F. Dosanjh, Michael J. Levenhagen, Ron Brightwell, Anthony Skjellum:
Finepoints: Partitioned Multithreaded MPI Communication. 330-350
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